Please use this identifier to cite or link to this item:
|Title:||Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses|
Structural health monitoring
|Abstract:||The determination of the location and severity of damage is a crucial task in the damage assessment of structures. In this study, 10 population-based metaheuristic techniques are applied to identify the location and severity of damage in large-scale spatial truss structures. Two examples from the relevant literature are considered under various damage settings to compare the efficacy of the recent swarm intelligence-based optimization methods. A combined natural frequencies and mode shapes-based objective function has been used in the present study for the damage detection purpose. The effect of noise is incorporated in the dynamic responses to study the efficiency of the best algorithm out of 10 possibilities in identifying damages in noisy environments. The results indicate the superiority of teaching-learning-based optimization (TLBO) technique over other optimization techniques in identifying damages with effective precision. Furthermore, with TLBO the number of function evaluations and computation time required in the optimization process is substantially reduced. � 2019 American Society of Civil Engineers.|
|Appears in Collections:||Research Publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.